Dec 16, 2020 � Flood-prone areas and their susceptibility are mapped using machine learning techniques including boosted regression tree (BRT) and generalized linear model (�...
For this aim, flood-prone areas and their susceptibility is mapped using machine learning techniques including boosted regression tree (BRT) and generalized�...
The objectives of this study are to, 1) map the flood-prone areas of Fars Province with the Google Earth Engine (GEE) platform and Sentinel 3 satellite images,�...
This research aims to aid in flood risk management by developing a framework to rapidly quantify urban flood risk assessment utilizing Sentinel-1 on the GEE.
Aug 16, 2021 � Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google ...
Duration: 0:47
Posted: Aug 16, 2021
Duration: 0:47
Posted: Aug 16, 2021
Missing: Engine. | Show results with:Engine.
This study aims to introduce an innovative approach to mapping and identifying FF exposure in the city of Tetouan, Morocco.
Apr 25, 2024 � Using SAR data and the powerful cloud processing platform Google Earth Engine (GEE), this study suggests a flood mapping technique.
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The main objective of this study is modelling flood susceptibility mapping and its assessment using regularized random forest (RRF) and Na�ve Bayes (NB) as two�...
Feb 4, 2024 � 7 days of online training on Master Google Earth Engine for Remote Sensing & GIS analysis ...
Duration: 1:19:42
Posted: Feb 4, 2024
Duration: 1:19:42
Posted: Feb 4, 2024
Missing: Infrastructures Exposed
May 6, 2023 � Recommended Practice: Flood Mapping and Damage Assessment Using Sentinel-1 SAR Data in Google Earth Engine. UN-SPIDER. Wagemann, J�...